Banca de QUALIFICAÇÃO: POLYANA KATRINE DE OLIVEIRA ROMÃO

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE: POLYANA KATRINE DE OLIVEIRA ROMÃO
DATA: 11/11/2022
HORA: 16:00
LOCAL: sala do meet: meet.google.com/xyn-iaiu-cuz
TÍTULO: Application of high-order statistics, fisher linear discriminant and neural networks in the detection and classification of inrush current in power transformers
PALAVRAS-CHAVES: Corrente Inrush, Estatística de Ordem Superior; Discriminante Linear de Fisher; Redes Neurais; Transitórios.
PÁGINAS: 10
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
SUBÁREA: Sistemas Elétricos de Potência
ESPECIALIDADE: Medição, Controle, Correção e Proteção de Sistemas Elétricos de Potência
RESUMO:

This work presents the application of Higher Order Statistics techniques for the extraction of characteristics of the inrush current phenomenon, together with Fisher's Linear Discriminant for the selection of characteristics with the greatest potential for distinguishing this phenomenon in relation to the steady-state scenario. and transient current events, arising from short-circuit events, internal faults and activation of capacitor banks, and for the final classification of each type of event, the application of the Neural Networks technique.

The modeling process of these events was carried out in the software APTDraw (Alternative Transient Program), having as an initial step the process of validating the simulation data, in relation to the real data measured in a 69/13.8kV Substation. The application of the techniques together, credible the efficiency regarding the application, considering that the purpose of classifying these types of events obtained a satisfactory answer.

 

MEMBROS DA BANCA:
Interno - 1983254 - BARTOLOMEU FERREIRA DOS SANTOS JUNIOR
Interno - 289819 - OTACILIO DA MOTA ALMEIDA